Employing Bayesian Vector Auto-Regression (BVAR) method as an altenative technique for forecsating tax revenue in South Africa

Employing Bayesian Vector Auto-Regression (BVAR) method as an altenative technique for forecsating tax revenue in South Africa

Statistics === M. Sc. (Statistics)

Bibliographic Details
Main Author: Molapo, Mojalefa Aubrey
Other Authors: Olaomi, John
Format: Others
Language:en
Published: 2018
Subjects:
Corporate income tax
Personal income tax
Total tax revenue
Forecasting
Bayesian Vector Autoregressive (BVAR)
Error
Trend
Seasonal (ETS)
Autoregressive moving Average (ARMA)
Root mean squared error (RMSE)
Autocorrelation
519.542
Bayesian statistical decision theory
Vector automobile
Tax revenue estimating
Corporations > Taxation
Income tax
Standard deviations
Online Access:Molapo, Mojalefa Aubrey (2017) Employing Bayesian Vector Auto-Regression (BVAR) method as an altenative technique for forecsating tax revenue in South Africa, University of South Africa, Pretoria, <http://hdl.handle.net/10500/25083>
http://hdl.handle.net/10500/25083

Internet

Molapo, Mojalefa Aubrey (2017) Employing Bayesian Vector Auto-Regression (BVAR) method as an altenative technique for forecsating tax revenue in South Africa, University of South Africa, Pretoria, <http://hdl.handle.net/10500/25083>
http://hdl.handle.net/10500/25083

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